Instructions to use lohpaul/SketchyBusinessControlNet_image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lohpaul/SketchyBusinessControlNet_image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lohpaul/SketchyBusinessControlNet_image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61ddc0f276f82931faa49e2668811fffde7eaf1e5d0d0fdd2661cffc805edb46
- Size of remote file:
- 1.45 GB
- SHA256:
- 30e173374210564763b288c4dbda9d4ff6a63cd6ae7abc645c70799354db4ec4
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